Machine Learning Engineer Lead
3 days ago
In this pivotal role as a Senior Advisor with Dell International Services India Pvt Ltd (7451), you will play a crucial part in harnessing the power of Artificial Intelligence initiatives.
The ideal candidate will have a deep understanding of Generative AI models and Large Language Models (LLMs) and experience with containerization technologies like Docker and orchestration systems like Kubernetes.
About UsDell Technologies is a leading provider of innovative technology solutions that drive business transformation. As an AI/ML Ops Engineer on our Machine Learning Engineer Team in Bangalore, you will be part of a dynamic team that develops and deploys cutting-edge AI/ML systems in production.
Your Key Responsibilities- Develop, deploy, and maintain AI/ML models into production environment.
- Apply knowledge of machine learning, deep learning, statistics, optimization, software engineering, and data engineering to produce code for testing, operationalizing, and governing software-integrated machine learning models.
- Work closely with various stakeholders, including business owners, software engineers, data scientists, and data engineers to align and execute end-to-end solutions.
- Implement MLOps strategies to automate and enhance the ML lifecycle.
- Engage in continuous testing, validation, and versioning of ML models.
- Showcase a solid understanding of microservices architecture, container management, and open-source technologies such as Linux, Docker, and Kubernetes.
- Bachelor's or Master's degree in Computer Science, Information Technology, AI, Machine Learning, or a related field.
- 7- 10 years of experience as an AI/ML Ops Engineer or similar role in an AI/ML environment.
- Experience with containerization technologies like Docker and orchestration systems like Kubernetes.
- Proficiency in implementing MLOps processes, methodologies, and tools.
- Certifications in AI, ML, Kubernetes, or cloud environments are a plus.
- Experience with CI/CD pipelines, Jenkins, Git, or similar tools.
We estimate the salary for this position to be around $125,000 - $150,000 per year, depending on experience and qualifications.
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